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Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer.
Sci Rep. 2023 Oct 5;13(1):16402. doi: 10.1038/s41598-023-41090-9.
Sci Rep. 2023.
PMID: 37798300
Free PMC article.
The Mechanical Fingerprint of Circulating Tumor Cells (CTCs) in Breast Cancer Patients.
Nel I, Morawetz EW, Tschodu D, Käs JA, Aktas B.
Nel I, et al. Among authors: tschodu d.
Cancers (Basel). 2021 Mar 5;13(5):1119. doi: 10.3390/cancers13051119.
Cancers (Basel). 2021.
PMID: 33807790
Free PMC article.
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Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.
Tschodu D, Ulm B, Bendrat K, Lippoldt J, Gottheil P, Käs JA, Niendorf A.
Tschodu D, et al.
PLoS One. 2022 Feb 10;17(2):e0261035. doi: 10.1371/journal.pone.0261035. eCollection 2022.
PLoS One. 2022.
PMID: 35143511
Free PMC article.
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